Analysis of VAE-Classifier Training Quality Control

Objective: Comprehensive quality control and performance analysis of the Beta-VAE + Classifier pipeline for Alzheimer's Disease diagnosis.

Dataset: ADNI multi-site fMRI data (N=431 subjects, 5-fold CV)

Analysis Structure:

  1. Configuration & Data Loading
  2. Distribution Quality Control
  3. Model Performance Evaluation
  4. Information Theory & Disentanglement
  5. Statistical Validation & Ablation Studies
  6. Publication-Ready Figures

1. Configuration & Global Setup

This section establishes project paths, global configuration parameters, and reproducibility settings.